Evidence map›Paper›PMID 30983405›Full record

ArticleCell transplantation2019

Plaque Distribution of Basilar Artery Fenestration by 3D High-Resolution MR Vessel Wall Imaging.

Lei Liu, Xue-Bin Zhang, Shuo Lu, Zun-Jing Liu, Xian-Jin Zhu

Open access · goldAbstract read
In one paragraph

Article in Cell transplantation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Lei Liu1 Department of Neurology, China-Japan Friendship Hospital, Beijing, China.ORCID 0000-0003-1331-9363
Xue-Bin Zhang2 Department of Radiology, China-Japan Friendship Hospital, Beijing, China.ORCID 0000-0001-8852-6733
Shuo Lu1 Department of Neurology, China-Japan Friendship Hospital, Beijing, China.ORCID 0000-0001-8610-3817
Zun-Jing Liu1 Department of Neurology, China-Japan Friendship Hospital, Beijing, China.ORCID 0000-0002-7962-8217
Xian-Jin Zhu2 Department of Radiology, China-Japan Friendship Hospital, Beijing, China.ORCID 0000-0002-9647-8855
China-Japan Friendship Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between fenestrations and neurovascular pathology is not well defined. The morphology of vessel wall plays an important role in the development of neurovascular pathology. We sought to explore the plaque distribution around basilar artery fenestration (BAF) by three-dimensional high-resolution MR vessel wall imaging (3D HRMRI). Patients with BAF on 3D HRMRI images were enrolled. All cross-sectional slices of basilar arteries were assessed and categorized based on the location of fenestration as proximal segment, in-bifurcation segment, and distal segment. Furthermore, plaques in the in-bifurcation segment were classified according to their orientation being centered on the lateral, interior, dorsal, or ventral wall of the vessel. In all, 12 cases with BAF involving 661 cross-sectional image slices in entire basilar arteries were included. Plaques were found in 190 image slices, with the distribution of 41 slices in the proximal segment, 144 slices in the in-bifurcation segment and 67 slices in the distal segment. Plaques were found more frequently in the proximal and in-bifurcation segments than in the distal segment (

Indexed as

Basilar ArteryCross-Sectional StudiesFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedPlaque, Atheroscleroticbasilar arteryfenestrationhigh-resolution MRIplaque distribution

Identifiers

PMID30983405
PMCPMC6719492
OpenAlexW2937190221

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.